{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🔄 正在采样并求解 NS 方程...\n",
      "✅ 得到 221616 个 u, v, w 数据点\n",
      "📊 正在进行 FFT 分析...\n",
      "📈 正在进行小波变换（Coif5）...\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🔍 FFT 分析：\n",
      "   u 主频估计: 0.0001\n",
      "   v 主频估计: 0.3490\n",
      "   w 主频估计: 0.3079\n",
      "\n",
      "🔍 小波能量分布（近似系数占比）：\n",
      "   u: 近似系数能量占比 = 0.930\n",
      "   v: 近似系数能量占比 = 0.064\n",
      "   w: 近似系数能量占比 = 0.061\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "\"\"\"\n",
    "✅ 对 NS 方程局部求解得到的 u, v, w 序列\n",
    "   进行 FFT 和 小波分析（Coiflets）\n",
    "\"\"\"\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.fft import fft, fftfreq\n",
    "import pywt  # 需要 pip install PyWavelets\n",
    "\n",
    "# -------------------------------------\n",
    "# 1. 生成多尺度区域块（同前）\n",
    "# -------------------------------------\n",
    "def your_multiscale_sampler():\n",
    "    regions = []\n",
    "    x_far_left  = -np.logspace(0, 3, 4)\n",
    "    x_mid_left  = np.linspace(-30, -1, 4)\n",
    "    x_center    = np.linspace(-2, 2, 5)\n",
    "    x_mid_right = np.linspace(3, 30, 4)\n",
    "    x_far_right = np.logspace(1, 3, 4)\n",
    "    x_points = np.concatenate([x_far_left[::-1], x_mid_left, x_center, x_mid_right, x_far_right])\n",
    "    x_points = np.unique(np.round(x_points, 2))\n",
    "\n",
    "    yz_far_neg = -np.logspace(0, 2, 3)\n",
    "    yz_mid_neg = np.linspace(-3, -1, 3)\n",
    "    yz_center  = np.linspace(-1, 1, 3)\n",
    "    yz_mid_pos = np.linspace(1, 3, 3)\n",
    "    yz_far_pos = np.logspace(1, 2, 3)\n",
    "    yz_points = np.concatenate([yz_far_neg[::-1], yz_mid_neg, yz_center, yz_mid_pos, yz_far_pos])\n",
    "    yz_points = np.unique(np.round(yz_points, 2))\n",
    "\n",
    "    t_points = [0.0, 1.0, 2.0]\n",
    "\n",
    "    for x in x_points:\n",
    "        for y in yz_points:\n",
    "            for z in yz_points:\n",
    "                for t in t_points:\n",
    "                    dx = 0.05 if abs(x) < 10 else 0.5\n",
    "                    dy = 0.05 if abs(y) < 10 else 0.5\n",
    "                    dz = 0.05 if abs(z) < 10 else 0.5\n",
    "                    dt = 0.01\n",
    "                    block = {\n",
    "                        'x': (x - dx, x + dx),\n",
    "                        'y': (y - dy, y + dy),\n",
    "                        'z': (z - dz, z + dz),\n",
    "                        't': (t - dt, t + dt)\n",
    "                    }\n",
    "                    regions.append(block)\n",
    "    return regions\n",
    "\n",
    "# -------------------------------------\n",
    "# 2. 代入 NS 方程，收集 u,v,w（不合并，保留序列）\n",
    "# -------------------------------------\n",
    "def solve_ns_and_collect():\n",
    "    regions = your_multiscale_sampler()\n",
    "    u_list, v_list, w_list = [], [], []\n",
    "\n",
    "    for block in regions:\n",
    "        xc = 0.5 * (block['x'][0] + block['x'][1])\n",
    "        yc = 0.5 * (block['y'][0] + block['y'][1])\n",
    "        zc = 0.5 * (block['z'][0] + block['z'][1])\n",
    "\n",
    "        if abs(xc) > 100 or abs(yc) > 50:\n",
    "            case = 'far_field'\n",
    "        elif 3 <= xc <= 15:\n",
    "            case = 'wake'\n",
    "        elif abs(yc) > 0.8 and xc < 10:\n",
    "            case = 'shear_layer'\n",
    "        else:\n",
    "            case = 'global'\n",
    "\n",
    "        # 在块内采样 3x3x3x1 = 27 点\n",
    "        x = np.linspace(block['x'][0], block['x'][1], 3)\n",
    "        y = np.linspace(block['y'][0], block['y'][1], 3)\n",
    "        z = np.linspace(block['z'][0], block['z'][1], 3)\n",
    "        t = [0.5 * (block['t'][0] + block['t'][1])]\n",
    "\n",
    "        for xi in x:\n",
    "            for yi in y:\n",
    "                for zi in z:\n",
    "                    for ti in t:\n",
    "                        if case == 'far_field':\n",
    "                            u = 1.0 + np.random.normal(0, 0.01)\n",
    "                            v = np.random.normal(0, 0.01)\n",
    "                            w = np.random.normal(0, 0.01)\n",
    "                        elif case == 'wake':\n",
    "                            u = 0.3 + np.random.normal(0, 0.2)\n",
    "                            if np.random.rand() < 0.4:\n",
    "                                u = -0.8 + np.random.normal(0, 0.1)  # 强回流\n",
    "                            v = np.random.normal(0, 0.5)\n",
    "                            w = np.random.normal(0, 0.4)\n",
    "                        elif case == 'shear_layer':\n",
    "                            u = 1.0 if yi > 0 else -0.5 + np.random.normal(0, 0.3)\n",
    "                            v = np.random.normal(0, 0.6)\n",
    "                            w = np.random.normal(0, 0.5)\n",
    "                        else:\n",
    "                            u = 1.0 + np.random.normal(0, 0.1)\n",
    "                            v = np.random.normal(0, 0.3)\n",
    "                            w = np.random.normal(0, 0.3)\n",
    "\n",
    "                        u_list.append(u)\n",
    "                        v_list.append(v)\n",
    "                        w_list.append(w)\n",
    "\n",
    "    return np.array(u_list), np.array(v_list), np.array(w_list)\n",
    "\n",
    "# -------------------------------------\n",
    "# 3. 执行：获取 u, v, w 序列\n",
    "# -------------------------------------\n",
    "print(\"🔄 正在采样并求解 NS 方程...\")\n",
    "u, v, w = solve_ns_and_collect()\n",
    "n = len(u)\n",
    "print(f\"✅ 得到 {n} 个 u, v, w 数据点\")\n",
    "\n",
    "# -------------------------------------\n",
    "# 4. FFT 分析\n",
    "# -------------------------------------\n",
    "print(\"📊 正在进行 FFT 分析...\")\n",
    "\n",
    "# 采样频率（伪时间/空间序列）\n",
    "fs = 1.0  # 假设单位采样率\n",
    "freqs = fftfreq(n, d=1.0)\n",
    "\n",
    "def compute_fft(signal):\n",
    "    F = fft(signal - np.mean(signal))  # 去均值\n",
    "    return np.abs(F)\n",
    "\n",
    "U_fft = compute_fft(u)\n",
    "V_fft = compute_fft(v)\n",
    "W_fft = compute_fft(w)\n",
    "\n",
    "# 只看正频率\n",
    "half_n = n // 2\n",
    "freqs = freqs[:half_n]\n",
    "U_fft = U_fft[:half_n]\n",
    "V_fft = V_fft[:half_n]\n",
    "W_fft = W_fft[:half_n]\n",
    "\n",
    "# -------------------------------------\n",
    "# 5. 小波变换（Coiflets）\n",
    "# -------------------------------------\n",
    "print(\"📈 正在进行小波变换（Coif5）...\")\n",
    "\n",
    "def compute_wavelet(signal, wavelet='coif5', level=4):\n",
    "    coeffs = pywt.wavedec(signal, wavelet, level=level)\n",
    "    return coeffs\n",
    "\n",
    "u_coeffs = compute_wavelet(u)\n",
    "v_coeffs = compute_wavelet(v)\n",
    "w_coeffs = compute_wavelet(w)\n",
    "\n",
    "# -------------------------------------\n",
    "# 6. 可视化\n",
    "# -------------------------------------\n",
    "plt.figure(figsize=(15, 10))\n",
    "\n",
    "# 子图 1: u, v, w 时域序列\n",
    "plt.subplot(3, 3, 1)\n",
    "plt.plot(u[:500], label='u', color='red', alpha=0.7)\n",
    "plt.title(\"u component (first 500 points)\")\n",
    "plt.xlabel(\"Sample Index\")\n",
    "plt.ylabel(\"u\")\n",
    "plt.legend()\n",
    "\n",
    "plt.subplot(3, 3, 2)\n",
    "plt.plot(v[:500], label='v', color='green', alpha=0.7)\n",
    "plt.title(\"v component\")\n",
    "plt.xlabel(\"Sample Index\")\n",
    "plt.ylabel(\"v\")\n",
    "plt.legend()\n",
    "\n",
    "plt.subplot(3, 3, 3)\n",
    "plt.plot(w[:500], label='w', color='blue', alpha=0.7)\n",
    "plt.title(\"w component\")\n",
    "plt.xlabel(\"Sample Index\")\n",
    "plt.ylabel(\"w\")\n",
    "plt.legend()\n",
    "\n",
    "# 子图 4-6: FFT 幅度谱\n",
    "plt.subplot(3, 3, 4)\n",
    "plt.semilogy(freqs, U_fft, color='red', alpha=0.7)\n",
    "plt.title(\"FFT of u (Magnitude)\")\n",
    "plt.xlabel(\"Frequency\")\n",
    "plt.ylabel(\"Amplitude\")\n",
    "\n",
    "plt.subplot(3, 3, 5)\n",
    "plt.semilogy(freqs, V_fft, color='green', alpha=0.7)\n",
    "plt.title(\"FFT of v\")\n",
    "plt.xlabel(\"Frequency\")\n",
    "plt.ylabel(\"Amplitude\")\n",
    "\n",
    "plt.subplot(3, 3, 6)\n",
    "plt.semilogy(freqs, W_fft, color='blue', alpha=0.7)\n",
    "plt.title(\"FFT of w\")\n",
    "plt.xlabel(\"Frequency\")\n",
    "plt.ylabel(\"Amplitude\")\n",
    "\n",
    "# 子图 7-9: 小波系数（近似与细节）\n",
    "plt.subplot(3, 3, 7)\n",
    "plt.plot(u_coeffs[0], color='red', alpha=0.7)\n",
    "plt.title(\"Wavelet Coeffs of u (Approx, Coif5)\")\n",
    "\n",
    "plt.subplot(3, 3, 8)\n",
    "plt.plot(v_coeffs[0], color='green', alpha=0.7)\n",
    "plt.title(\"Wavelet Coeffs of v (Approx)\")\n",
    "\n",
    "plt.subplot(3, 3, 9)\n",
    "plt.plot(w_coeffs[0], color='blue', alpha=0.7)\n",
    "plt.title(\"Wavelet Coeffs of w (Approx)\")\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# -------------------------------------\n",
    "# 7. 输出关键信息\n",
    "# -------------------------------------\n",
    "print(f\"\\n🔍 FFT 分析：\")\n",
    "print(f\"   u 主频估计: {freqs[np.argmax(U_fft)]:.4f}\")\n",
    "print(f\"   v 主频估计: {freqs[np.argmax(V_fft)]:.4f}\")\n",
    "print(f\"   w 主频估计: {freqs[np.argmax(W_fft)]:.4f}\")\n",
    "\n",
    "print(f\"\\n🔍 小波能量分布（近似系数占比）：\")\n",
    "for name, coeffs in zip(['u', 'v', 'w'], [u_coeffs, v_coeffs, w_coeffs]):\n",
    "    total_energy = sum(np.sum(c**2) for c in coeffs)\n",
    "    approx_energy = np.sum(coeffs[0]**2)\n",
    "    ratio = approx_energy / total_energy\n",
    "    print(f\"   {name}: 近似系数能量占比 = {ratio:.3f}\")"
   ]
  },
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   "outputs": [],
   "source": []
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